Update app.py

app.py

@@ -3,9 +3,24 @@ from transformers import pipeline
 from PIL import Image
 import pytesseract
 
+huggingface-cli login
+
 # Initialize chat model
 chat_model = pipeline("text-generation", model="gpt2")  # عدّل اسم النموذج حسب الحاجة
 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe = pipeline("text-generation", model="meta-llama/Llama-3.3-70B-Instruct")
+pipe(messages)
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
 # Chat function
 def chat_fn(history, user_input):
     conversation = {"history": history, "user": user_input}